DevOps Engineer - Generative AI

As a DevOps Engineer Generative AI at CompuGroup Medical, you will have the opportunity to contribute to building groundbreaking solutions for digital healthcare. Your role will involve designing, deploying, and managing on-premises and cloud environments for QA and production, ensuring high availability and security. You will also lead deployments of AI agents and enterprise applications into scalable and automated infrastructure environments. Key Responsibilities: - Design, deploy, and manage on-premises and cloud environments for QA and production, ensuring high availability and security. - Lead deployments of AI agents and enterprise applications into scalable and automated infrastructure environments. - Define system requirements, design system and network architectures, and create clear documentation and architecture diagrams. - Write, maintain, and debug Python scripts and automation tools to streamline deployment pipelines and integration workflows. - Monitor and maintain production API and microservice ecosystems, ensuring uptime, performance, and observability. - Participate in risk analysis and develop proactive Risk Management Plans across the system lifecycle. - Collaborate with engineering teams to troubleshoot issues, support QA testing, and optimize CI/CD pipelines. - Build, enhance, and integrate new services across platforms using technologies such as Python, .NET (C#), SQL Server, and Angular. Qualifications Required: - Thrive on problem-solving, innovation, and hands-on technical execution. - Have 3+ years of experience in DevOps, systems engineering, or software architecture. - Have 2+ years of experience architecting and implementing cloud infrastructure and on-premises server environments. - Possess experience with Generative AI development, including prompt engineering with models like GPT4o, Claude 3.5 Sonnet, or Gemini. - Have 2+ years of experience with Python development and familiarity with at least one of the following: .NET (C#), SQL Server, or related technologies. - Can clearly visualize and design system architecture diagrams using standard tools (e.g., Lucidchart, Draw.io, or Visio). - Have experience working in dynamic startup environments or multidisciplinary AI teams. - Hold a Bachelors or Masters in Computer Science, Engineering, or a related field. If you are a self-motivated individual with a passion for developing comprehensive software solutions and a desire to grow in the field of Healthcare Technology, we encourage you to apply for this exciting opportunity. Submit your persuasive application now to become part of a significant mission in e-health. As a DevOps Engineer Generative AI at CompuGroup Medical, you will have the opportunity to contribute to building groundbreaking solutions for digital healthcare. Your role will involve designing, deploying, and managing on-premises and cloud environments for QA and production, ensuring high availability and security. You will also lead deployments of AI agents and enterprise applications into scalable and automated infrastructure environments. Key Responsibilities: - Design, deploy, and manage on-premises and cloud environments for QA and production, ensuring high availability and security. - Lead deployments of AI agents and enterprise applications into scalable and automated infrastructure environments. - Define system requirements, design system and network architectures, and create clear documentation and architecture diagrams. - Write, maintain, and debug Python scripts and automation tools to streamline deployment pipelines and integration workflows. - Monitor and maintain production API and microservice ecosystems, ensuring uptime, performance, and observability. - Participate in risk analysis and develop proactive Risk Management Plans across the system lifecycle. - Collaborate with engineering teams to troubleshoot issues, support QA testing, and optimize CI/CD pipelines. - Build, enhance, and integrate new services across platforms using technologies such as Python, .NET (C#), SQL Server, and Angular. Qualifications Required: - Thrive on problem-solving, innovation, and hands-on technical execution. - Have 3+ years of experience in DevOps, systems engineering, or software architecture. - Have 2+ years of experience architecting and implementing cloud infrastructure and on-premises server environments. - Possess experience with Generative AI development, including prompt engineering with models like GPT4o, Claude 3.5 Sonnet, or Gemini. - Have 2+ years of experience with Python development and familiarity with at least one of the following: .NET (C#), SQL Server, or related technologies. - Can clearly visualize and design system architecture diagrams using standard tools (e.g., Lucidchart, Draw.io, or Visio). - Have experience working in dynamic startup environments or multidisciplinary AI teams. - Hold a Bachelors or Masters in Computer Science, Engineering, or a related field.